Oracle Cloud engagement report
@OracleCloud - 94K followers on X
Measured over 27 original posts from a 30-day window, last computed on August 25, 2026.
Engagement
A typical post picks up 25 interactions against 94K followers, an engagement rate of 0.026%. Measured over 27 original posts, its engagement rate beats 30% of 3,917 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 2.1K times each, and 1.22% of those impressions turn into an interaction. That is about 2.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 27 posts sampled, 85% carry an image or video and 100% link out. The account's strongest tracked post pulled 41 interactions, about 1.6x its own typical post.
Measured over 27 original posts from a 30-day window, last computed on August 25, 2026. Recurring tag: #aiworld.
Compared with accounts its own size
Oracle Cloud's engagement rate beats 30% of the tracked X accounts closest to it in follower count (3,917 accounts, accounts of similar size (decile 5 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 51% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.026%, Oracle Cloud sits above the 25th percentile of the 37,856 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.439% |
| 90th percentile | 2.10% |
| 99th percentile | 155.6% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 14:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 53K |
| 01:00 UTC | -2% | 53K |
| 02:00 UTC | -3% | 52K |
| 03:00 UTC | -4% | 55K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 43K |
| 06:00 UTC | -4% | 50K |
| 07:00 UTC | -5% | 54K |
| 08:00 UTC | -4% | 63K |
| 09:00 UTC | -3% | 72K |
| 10:00 UTC | -2% | 75K |
| 11:00 UTC | -3% | 81K |
| 12:00 UTC | -2% | 90K |
| 13:00 UTC | -2% | 98K |
| 14:00 UTC | -3% | 101K |
| 15:00 UTC | -2% | 105K |
| 16:00 UTC | -4% | 102K |
| 17:00 UTC | -3% | 95K |
| 18:00 UTC | -1% | 88K |
| 19:00 UTC | -2% | 83K |
| 20:00 UTC | -1% | 77K |
| 21:00 UTC | -1% | 69K |
| 22:00 UTC | -2% | 60K |
| 23:00 UTC | -2% | 53K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 238K |
| Monday | 0% | 302K |
| Tuesday | -3% | 302K |
| Wednesday | -1% | 257K |
| Thursday | -2% | 250K |
| Friday | -3% | 259K |
| Saturday | +3% | 233K |
Best tweets
- Aug 11, 20261.6x their median
OCI’s technical advantages ➕ Quicknode’s leading public blockchain services 🟰 accelerating the growth of Web3 Learn more about how @Quicknode is paving the way for Web3 development on OCI and is bringing real-time blockchain data and multi-chain infrastructure directly to our customers through the Oracle Cloud Marketplace. https://t.co/fgrmHdgwdc
- Aug 4, 20261.6x their median
Oracle Interconnect for AWS is now generally available. https://t.co/ud6y7FnLfa Customers can connect OCI and @awscloud through a private, high-speed, fully managed service—helping simplify multicloud operations with predictable costs, no data transfer charges, and built-in security and resilience.
- Jul 22, 20261.5x their median
Enterprise AI is now available in OCI Dedicated Cloud. https://t.co/nv1CgnEsHy Bring locally hosted generative AI, flexible model choice, and enterprise grade AI infrastructure into dedicated environments so you can build, deploy, and scale AI with confidence. https://t.co/TQP8c7bUVV
- Aug 22, 2026
Get our practical OpenSearch vector search sizing guidelines that can help teams estimate capacity upfront and provision clusters that meet performance and reliability requirements as data and query volumes grow. https://t.co/1IT3ioeHv0 https://t.co/tqxmu6tdRy
- Aug 24, 2026
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- Aug 13, 2026
Why do so many enterprise AI agents stall after the prototype? The challenge is rarely the model. It's the work required around it: secure data access, integration, identity, governance, deployment, and scaling. With Agents in Oracle AI Data Platform, teams have one governed path from idea to production. Analysts can build visually in Agent Studio, while developers can work with the Python SDK and notebooks—using the same tools, connectivity, and production controls. Learn more: https://t.co/zcZjHFNmpn
- Jul 16, 2026
Get skilled and certified for free! We just launched a new course to help you build practical agentic AI skills or validate the ones you already have. https://t.co/q53vOLln6f It covers: ✅ Core AI agent concepts and reasoning ✅ LangChain and the OpenAI Agent stack ✅ Model Context Protocol (MCP) ✅ OCI Enterprise AI Platform ✅ Oracle AI Database for agentic AI
- Jul 21, 2026
The OCI Agent Evaluation Framework goes beyond final-answer scoring to evaluate prompts, RAG, tools, trajectories, state changes, and production behavior across the agent lifecycle. Learn more: https://t.co/E7p91jWljb https://t.co/JPOgrfLWUy
- Jul 29, 2026
We’re excited to make GLM 5.2 available on OCI Enterprise AI through Model Import. https://t.co/YVCoqJfDP2 Customers can bring supported open-source and third-party models into OCI, deploy them on dedicated AI clusters, create endpoints, and use them through OCI’s enterprise-ready AI platform.
- Jul 28, 2026
Bring customer-owned GPU infrastructure to OCI Dedicated Cloud while benefiting from Oracle-managed deployment, operations, billing, monitoring, and support. Explore how this new capability helps address procurement, sovereignty, and regulatory requirements. https://t.co/T8w5INOX4C
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 25 interactions against 94K followers, an engagement rate of 0.026%. Measured over 27 original posts, its engagement rate beats 30% of 3,917 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 2.1K times each, and 1.22% of those impressions turn into an interaction. That is about 2.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 27 posts sampled, 85% carry an image or video and 100% link out. The account's strongest tracked post pulled 41 interactions, about 1.6x its own typical post.
- What is Oracle Cloud's engagement rate on X?
- Oracle Cloud (@OracleCloud) has an engagement rate of 0.026%, based on the median interactions across 27 original posts from the last 30 days against 94,447 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.026%, Oracle Cloud sits above the 25th percentile of the 37,856 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @OracleCloud have real engagement?
- Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (3,917 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @OracleCloud post?
- Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 1.03 posts per day across the measured window.